Fyno AI

Industries

THE PROBLEM

Digital journeys exist. Execution is still manual.

As volumes grow, these inefficiencies scale linearly, increasing cost, turnaround time, and operational dependency.

BANKING USE-CASES

THE SHIFT

From workflows to agentic execution

Fyno replaces sequential, tool-driven workflows with an AI-native execution layer that empowers seamless customer journeys end-to-end:

Core architecture

Industries

How it works

BANKING USE-CASES

THE SHIFT

Built for real customers behaviour

Most digital journeys break because they are designed for structured inputs, not real customer behaviour.

Industries

THE OUTCOMES

Outcomes of Fyno AI

Reduce turnaround time

Across KYC, validation, and decisioning

Reduce cost to serve

Without scaling operations linearly

Lower manual effort

Across follow-ups, coordination, and exception handling

Increase completion rates

By aligning journeys to real customer behaviour

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Frequently asked questions

We already have automation and workflow tools in place. How is this different?

Existing tools execute fixed sequences and break the moment an input is missing, out of order, or arrives on the wrong channel. Fyno's agentic layer understands intent, runs tasks like KYC, document validation, and underwriting in parallel rather than in sequence, and continues the journey even when a customer responds partially or inconsistently. It is not a replacement for your tools, but the orchestration layer that makes them work together with minimal manual intervention.

If AI agents are driving decisions in KYC and underwriting, how do we maintain control and oversight?

Every agent action is policy-driven, meaning you define the rules, thresholds, and escalation logic, and the agents execute within those boundaries. Nothing is a black box. Every step is logged with a full audit trail of what was triggered, what input was received, and what decision was made. Human review can be built into the workflow wherever your policy requires it, especially for credit or compliance-sensitive steps.

Our processes are specific to our institution. Can this be configured to how we actually operate?

Yes, and this is a core part of how Fyno deploys. The agent architecture is consistent, but the journeys, including the rules, document types, decisioning logic, and escalation paths, are configured to your workflows. Fyno does not ask you to adapt to a pre-built product. Onboarding, lending, and servicing journeys are built in close collaboration with your product and ops teams during implementation.

What happens to sensitive customer data when agents are processing documents and financial inputs?

Data processed by the agents stays within your deployment environment. For private cloud or on-premise deployments, nothing leaves your infrastructure. For SaaS, data in transit is fully encrypted and payload storage is configurable. You control what is retained, for how long, and who can access it. Agents process documents and inputs to execute the journey, but do not store raw customer data beyond what you explicitly permit.

Is this a SaaS product or can it be deployed within our own environment?

Fyno supports SaaS, private cloud, and on-premise deployment. For institutions with data residency requirements or strict infosec policies, private cloud or on-premise is the standard path. The deployment model is agreed upon during onboarding and does not affect the product capabilities or the agent architecture.

AI-native orchestration for core banking journeys sounds promising. How do we know this works at our scale and in our environment?

Fyno is already working with leading Indian banks and financial institutions in production. These are live deployments handling onboarding, lending, and servicing journeys at scale, across the same fragmented systems, regulatory constraints, and customer behaviour patterns that Indian BFSI institutions deal with. For institutions that prefer to validate before committing, we also structure initial deployments around a single journey so you can see measurable outcomes on TAT, manual effort, and completion rates before expanding.

How long does it take to go live, and what does implementation involve?

A single journey, such as digital onboarding or a lending workflow, typically goes live in 2 to 4 weeks, depending on integration complexity. Fyno's deployment team works directly with your product, ops, and tech stakeholders. You do not need to wait for full-scale rollout to see results. Most institutions start with one journey or a POC and expand from there.

Execute BFSI customer journeys faster, without manual effort

Digital journeys exist. Execution is still manual.

From workflows to agentic execution

How it works

Built for real customers behaviour

Outcomes of Fyno AI

Why Fyno AI?

Frequently asked questions

Book a demo

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